This research will show a sturdy method to hide a text file into an
image using least significant bit algorithm and encrypting this text,
which allows to store English and Arabic texts with various sizes
and ensure that the text file is delivered correctly and secretly.
In our research, we used a video file as a cover media to
hide the text. This method provides a high quality in
display and authenticity in data transfer.
We chose specific frames from the video file and we apply
DWT to hide the encryption text, which ensure that the text
file is delivered correctly and secretly.
In this paper we propose a new steganography algorithm by a
random image segmentation to blocks of different size with several
steganographic algorithms to increasing the security of hiding
data. Both color and gray images have been used as cover files
for our method.
Recently، digital image authentication technologies have gained much attention because of
their importance in many multimedia applications. In general digital images are
transmitted over unsaved media such as the internet and many types of computer
networks.
Applications may require a large amount of safety such as military applications and
medical applications. Therefore the digital images must be protected against any
modifications، which may lead to influence the decisions that associated with them.
In this paper، a general scheme based on Steganography & Perceptual Image Hashing
techniques was proposed to enhance the security of digital image transmission. In the final
test stage, we checked the accuracy of the proposed scheme against potential modifications
was studied, by applying different levels of compression and changing the contrast &
brightness level of the image. For analyzing the final results, we computed the matching
ratio between the original hash vector and the embedded hash vector. As a result، we
achieved a near perfect match ratio even after applying the image compression level or
changing its brightness level (approximately 99.9%), while the match ratio decreased
significantly with the increase of the contrast level of the image (approximately 94%).
